Model selection in stochastic chemical reaction networks using flow cytometry data.
Gabriele LillacciMustafa KhammashPublished in: CDC/ECC (2011)
Keyphrases
- model selection
- chemical reaction
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- sample size
- meta learning
- mixture model
- machine learning
- information criterion
- error estimation
- generalization error
- motion segmentation
- regression model
- model selection criteria
- statistical learning
- gaussian process
- variable selection
- chemical reactions
- feature selection
- selection criterion
- bayesian methods
- statistical inference
- leave one out cross validation
- marginal likelihood
- training data
- graphical models
- learning algorithm
- data sets
- gaussian mixture model
- random sampling